Semantic mapping of disinformation: identifying fake news topics

The scientific article of our Department’s employees entitled “Sentence Embeddings and Semantic Entity Extraction for Identification of Topics of Short Fact-Checked Claims” has been published in open access. The paper describes an approach to assigning topics to claims verified by fact-checking agencies.

Identification of fake news using generative artificial intelligence

Prof. Witold Abramowicz, advisor to the rector for artificial intelligence and digital transformation, presented issues related to automatic identification of fake news using generative artificial intelligence during the Polish Security Congress – Total Security. The event was attended by several hundred representatives of government, local government, business and science.

Presentations at the KES 2024 conference

During the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), Dr. Włodzimierz Lewoniewski presented a paper entitled “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” and a paper entitled “Supporting fact-checking process with IT tools”. The conference was held on September 11-13, 2024 in hybrid mode.

OpenFact at CLEF 2024

On September 9-12, 2024, scientists from the Department of Information Systems presented their works at the CLEF 2024 conference, which took place in Grenoble (France). This was the 25th edition of the CLEF (Conference and Labs of the Evaluation Forum), a key event in the field of information and language technologies, focusing on the evaluation of information systems. Thanks to a variety of test tasks, participants can compare and improve … Read More

Continued achievements in the global information verification competition

In 2024, scientists from the Department of Information Systems participated for the second time in the CheckThat! competition, part of the international CLEF conference, focused on identifying check-worthy texts. Leveraging transformer-based language models and cross-linguistic transfer learning techniques, the team secured two second-place rankings for English and Arabic submissions.

Combining multiple attack methods for effective adversarial text generation

An article by our scientists entitled “OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation” has been published in open access. The paper describes the approach that won first place in an international competition in the area of ​​information credibility.

Participation in an international competition in the area of analysis of multi-author writing style

Scientists from the Department of Information Systems took part in an international competition for the analysis of multi-author writing style – PAN 2024. PAN is a series of scientific events related to stylometric analysis and forensic linguistics, organized during the CLEF 2024 conference. The competition task was to detect places where the author changes in a text written by several authors.

First place in an international competition in the field of information credibility

A team of scientists from the Department of Information Systems at the Poznań University of Economics and Business took part in the “CheckThat! 2024” organized as part of the international conference CLEF (Conference and Labs of the Evaluation Forum). The goal was to verify the robustness of popular text classification approaches used for credibility assessment problems.

OpenFact is again the most effective in detecting fake news

The National Center for Research and Development has completed the evaluation of the results of the second phase of the INFOSTRATEG program. The evaluation included the results achieved by three competing teams whose task is to develop solutions for detecting fake news using artificial intelligence.